# How to calculate standard errors for estimated parameters for a 3-parameter Weibull Distribution?

Hi,

The example discussed below provides a code for estimating parameters of a three-parameter weibull distribution. I am interested in calculating the standard errors of these estimated parameters, can anyone please tell me how to proceed?

Link to matlab example: <https://in.mathworks.com/help/stats/weibull-distribution.html>

NOTE:-

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One method is to use Fisher information; another method is to use bootstrapping. Google will explain these if you are not already familiar with them.

Here is some code implementing each method:

`%%Demo showing 2 methods of computing standard errors of 3-parameter Weibull distribution.% Both methods require Cupid available at https://github.com/milleratotago/Cupid% Method 2 also requires RawRT available at https://github.com/milleratotago/RawRT% Here are some sample data to be used for this demo.myDist = Weibull(550,1.9,300);  % Arbitrary parameter values to generate some data.myDist.PlotDens;data = myDist.Random(300,1);  % Replace this with your own data.figure; histogram(data);%%Method 1: Estimate SEs using Fisher InformationmyDist = Weibull(500,1.8,200);  % Use your best guesses for the initial parameter values.myDist.EstML(data);   % Estimate the parameter values.estparms = myDist.ParmValues;[SEs, Cov] = myDist.MLSE(data,'rrr');  % This step computes the standard errors.` 